Launching today

SEION backoffice with AI

Launching today

Seion creates AI agents to make a business more efficient.

5.0•2 reviews•

2 followers

Seion creates AI agents to make a business more efficient.

5.0•2 reviews•

2 followers

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SEION creates AI agents connected to your entire company They are not isolated chatbots: they connect to your ERP, your CRM, and your channels to consult data and perform real tasks. Create as many agents as you need, by department and by language.

SEION backoffice with AI Reviews

The community submitted 2 reviews to tell us what they like about SEION backoffice with AI, what SEION backoffice with AI can do better, and more.

5.0

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What's great

Disclosure: I'm part of the team behind SEION at Ganbaru, so read this as an insider's view rather than an independent one.

What sets SEION apart from bolting a chatbot onto an existing tool is that the AI agents run inside a unified backoffice where processes and data are already structured: CRM, calendar, email, web chat links and connectors to external APIs. The agents don't just help with internal productivity, they act with external actors at scale: booking appointments and managing calendars for salon chains, handling voice and marketing conversations for manufacturers, supporting real-estate agents. You extend what an agent can do by attaching connectors, not by rebuilding flows, and the same core powers several verticals (hospitality, security, retail). For SMEs that want real automation without stitching five SaaS tools together, that combination is the point.

What needs improvement

Being honest about the gaps: SEION is not a plug-and-play tool. Every deployment goes through a hands-on onboarding layer with our team, and a fully self-service setup is not there yet. That said, this is deliberate and it is actually the key to the product: that onboarding is where the architecture, the agents and the connectors get tailored to how each company really works, instead of forcing the business into a generic template. Beyond that, documentation for building your own connectors could be more complete, the connector library does not yet cover every third-party system out of the box, and finance teams would appreciate more granular visibility of AI token consumption per agent and per process, since that is where the running cost lives.

vs Alternatives

Before building SEION we looked at two families of tools. General-purpose assistants (ChatGPT/Claude-style) are excellent for individual productivity but have no notion of your business processes, customers or data, so every interaction starts from zero. Workflow automation platforms (n8n/Make-style) can reach your systems, but someone has to design and maintain every flow, and they are not conversational actors your customers can talk to. SEION sits in between: agents that live inside the backoffice with your processes and data as first-class citizens, extended through connectors rather than hand-built flows, and able to talk to customers and suppliers by chat or voice.

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Disclosure: I'm part of the team behind SEION at Ganbaru, so read this as an insider's view rather than an independent one.